Direkt zum Inhalt springen
login.png Login    |
de | en
MyTUM-Portal
Technische Universität München

Technische Universität München

Sitemap > Schwarzes Brett > Studentische Hilfskräfte, Praktikantenstellen, Studienarbeiten > ExamAllocation tool: student position available for programming using Python, SQL, SQLAlchemy, and FastAPI
auf   Zurück zu  Nachrichten-Bereich      Browse in News  nächster    

ExamAllocation tool: student position available for programming using Python, SQL, SQLAlchemy, and FastAPI

26.09.2025, Studentische Hilfskräfte, Praktikantenstellen, Studienarbeiten

"ExamAllocation" is a tool internally developed in the Department of Mathematics to automate the allocation of staff members for exam supervisions and exam grading. We are looking for a student assistant to continue the development of the tool.

Our goal is to use the ExamAllocation tool in production as soon as possible.

WHAT WE OFFER

  • first-hand experience in software development and optimization
  • bring your knowledge into practice
  • learn new skills that will help you in the future
  • student position for 8-9hrs/week (exact working time is negotiable) for the duration of the winter semester 2025/26 (can potentially be extended)flexible working hours

WHAT WE ARE LOOKING FOR
  • proficieny in Python
  • experience in working with SQL databases
  • knowledge of FastAPI (or some other Python web framework, e.g., Flask, Django) and SQLAlchemy (or some other Python ORM system)
  • basic experience with Git
  • ability to work independently
  • good communication skills
  • bonus: experience in integer programming and MIP solvers and/or Angular or related frameworks is a plus

We want to fill the position as soon as possible; the earlier you apply, the better. Please include the following in your application, combined into one single PDF document:
  • your CV
  • your current examination report (transcript of records)
  • a list of relevant courses you have taken during the last semesters
  • why you apply for the position
  • how well you know Python, Git, SQL databases, FastAPI, SQLAlchemy (or similar tools), and, if applicable, Angular and/or integer programming
  • if possible, references or projects you have already worked on
Please send your application to exam.allocation@math.cit.tum.de. If you have any questions, do not hesitate to contact us at exam.allocation@math.cit.tum.de.

We are looking forward to your application!

Michael Ritter, Andreas Wiese

Kontakt: Michael Ritter, Andreas Wiese

Termine heute

no events today.

Veranstaltungskalender